Lead AI Architect
USD 118K-196K Senior-level Full Time
Tasks
- Architect human in the loop systems
- Define model versioning standards
- Define scalable secure AI infrastructure
- Deliver technical design walkthroughs
- Design data pipelines
- Design end to end AI system architecture
- Design inference engines
- Design model storage
- Document architecture patterns
- Ensure data privacy and compliance
- Establish MLOps best practices
- Implement AI safety guardrails
- Integrate AI with enterprise systems
- Lead architecture reviews
- Mentor engineers on architecture
- Optimize cloud GPU and TPU cost
- Plan deployment strategies
- Select AI tech stack
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | API Design | AWS | Agile | Ansible | Artificial Intelligence | Azure | Azure Machine Learning | BentoML | CCPA | Cloud Native | Cloud platform | Cost Optimization | Data Modeling | Data Pipelines | Data Privacy | Data schemas | Distributed Systems | Enterprise Integration | Fine Tuning | GDPR | GPU | Generative AI | Google Cloud | Google Cloud Platform | Human-in-the-loop | Infrastructure as Code | Kubeflow | Legacy System | Legacy system migration | Low Latency | Low Latency Inference | MLOps | MLflow | Machine Learning | Microservices | Project Management | PyTorch | RAG | Retrieval-Augmented Generation | SageMaker | Secure Architecture | Structured data | System Migration | TPU | TensorFlow | Terraform | The Loop | Transformers | Unstructured Data | Vector Databases | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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